DESCRIPTION:

Duties: Analyze credit products including planning, building, and maintaining tools, models, and methodologies, and driving key initiatives for stress allowance for credit loss (ACL) estimation, implementation, and enhancement. Define requirements for creating analytics dashboards and data visualizations, and lead subsequent user acceptance testing for stress ACL model enhancement. Responsible for syndication discussions with finance and risk stakeholders and senior management on the stress ACL results for both annual stress testing exercise and quarterly risk appetite. Conduct quarterly ACL management adjustments such as idiosyncratic and name-specific adjustments and present them to stakeholders. Perform ad hoc analysis to assist senior management with key decisions relative to credit cost estimation and new deal pricing. Source and analyze large data sets. Conduct end-to-end preparation of analytics materials and quarterly reports for senior management including but not limited to the ACL. Analyze quarterly loan losses results to identify key model drivers and impacts for key macroeconomic variables on loan losses. Prepare documentation and governance needs related to finance and risk reporting. Perform data analytics and data visualization.

QUALIFICATIONS:

Minimum education and experience required: Master’s degree in Business Analytics, Finance, Accounting, or related field of study plus 1 year of experience in the job offered or as a Wholesale Credit Loss Forecasting, Analytics Consultant, or related occupation. The employer will alternatively accept a Bachelor’s degree in Business Analytics, Finance, Accounting, or related field of study plus 3 years of experience in the job offered or as Wholesale Credit Loss Forecasting, Analytics Consultant, or related occupation.

Skills Required: Requires experience in the following: Loan loss forecasting for wholesale traditional credit products; CECL; IFRS; CCAR; wholesale Commercial and Industrial loans and lending-related commitments; Commercial Real Estate loans and lending-related commitments; loan loss forecasting models, methodologies, policies, procedures, and estimation frameworks; analyzing and manipulating large loan portfolio data sets using business intelligence tools, data visualization tools and programming languages including Tableau, Alteryx, Python, and SQL; and syndicating and presenting ACL to stakeholders.

Job Location: 8181 Communications Parkway, Plano, TX 75024. Telecommuting permitted up to 40% of the week.